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Generative Ai Engineer Jobs in Michigan (NOW HIRING)

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

... Generative AI - LLM tasks, focusing on Mach1ML adoption and AI/ML democratization. Skills Required: • Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning ...

Tech Tammina LLC

AI Engineer/ Developer

Okemos, MI · On-site

Role:: AI Engineer/ Developer Location: Okemos, MI (onsite/ Hybrid) Duration: 12 months+ Rate ... or generative AI • Integrate APIs and handle structured/unstructured data for downstream ...

Megan soft Inc

AI Engineer (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

... as deep learning, generative AI, natural language processing, image processing, cognitive ... programming * Research and optimize AI technologies to enhance efficiency and accuracy of data ...

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Generative Ai Engineer information

See Michigan salary details

$33.1K

$101K

$166.9K

How much do generative ai engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for generative ai engineer in Michigan is $100,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $132,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Generative Ai Engineer position, and why are they important?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What are the typical projects or responsibilities for a Generative AI Engineer?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, especially those specializing in artificial intelligence, machine learning, or cybersecurity, can earn $500,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes leadership responsibilities or stock options in tech companies.

What is a Generative AI Engineer job?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What do generative AI engineers do?

Generative AI engineers develop and optimize algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, neural networks, and large datasets to build models like GPT or GANs, often requiring skills in programming, data analysis, and deep learning tools. Their work involves designing, training, and fine-tuning models to ensure high-quality output for various applications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, research scientist, or executive role, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or strategic oversight. Compensation at this level reflects the value of expertise and impact on organizational innovation and growth.

Which 3 jobs will survive AI?

Generative AI engineers, healthcare professionals, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that AI cannot fully replicate. These jobs often involve creativity, empathy, or physical tasks, making them more resilient to automation and AI advancements.
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Generative Ai Engineer jobs near you
Generative AI Engineer (Knowledge Graph)

Generative AI Engineer (Knowledge Graph)

HTC Global Services

Dearborn, MI • On-site

$89K - $122K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Job Title
Knowledge Graph & Generative AI Engineer
Overview / Summary
We are seeking a Knowledge Graph & Generative AI Engineer to work at the intersection of semantic data engineering, graph systems, and generative AI. This role focuses on transforming unstructured data into interconnected Knowledge Graphs (KGs) that support Retrieval-Augmented Generation (RAG), recommendation engines, and advanced reasoning models.
Key Responsibilities
• Design, build, and optimize scalable graph databases using technologies such as Neo4j and TigerGraph.
• Map ontologies and semantic web standards, including RDF and OWL.
• Develop embedding ingestion pipelines and integrate Knowledge Graphs with Large Language Models (LLMs).
• Enhance contextual retrieval, search capabilities, and generative AI responses through AI/LLM integration.
• Build and manage data processing approaches that parse and transform structured and unstructured data into graph-oriented formats.
• Architect entity resolution and relationship extraction workflows.
• Develop machine learning workflows to identify patterns and dependencies within complex datasets.
Required Qualifications
• Experience designing, building, and optimizing graph databases.
• Knowledge of graph technologies such as Neo4j or TigerGraph.
• Understanding of semantic web standards, including RDF and OWL.
• Experience developing embedding ingestion pipelines.
• Experience integrating Knowledge Graphs with Large Language Models (LLMs).
• Ability to process and transform structured and unstructured data into graph-oriented formats.
• Experience with entity resolution and relationship extraction.
• Experience developing machine learning workflows for complex data analysis.
What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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